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			 STATISTICAL BRIEF #296 
			
				June 2022
				 
		Kimberly W. McDermott, Ph.D., Lawrence D. Reid, Ph.D., and Pamela L. Owens, Ph.D. Introduction Maternal health coverage is an important element of health insurance coverage in the U.S. For example, under the Affordable Care Act pregnancy, maternal, and newborn care comprise essential health benefits that must be covered by all Marketplace plans.1 Coverage of these services also has implications for access to and quality of care. One study found that pregnant women covered by Medicaid or with no insurance have higher rates of emergency department (ED) visits during pregnancy than pregnant women covered by private insurance.2 As pregnancy-related complications were the fifth most common reason for ED visits for women aged 15-64 years in 2018,3 information on ED use among pregnant women by expected payer provides useful information for analysts and policymakers and helps identify areas of focus for quality improvement efforts. This Healthcare Cost and Utilization Project (HCUP) Statistical Brief presents statistics on treat-and-release ED visits (i.e., visits that result in discharge from the ED and do not result in admission to the same hospital) for pregnant womena aged 12-55 years using weighted estimates from the 2019 Nationwide Emergency Department Sample (NEDS). The distribution of ED visits and aggregate ED costs by primary expected payer is presented overall as well as by patient age group and race and ethnicity. Corresponding statistics for ED visits for nonpregnant womenb aged 12-55 years are provided for comparison. Because of the large sample size of the NEDS data, small differences can be statistically significant. Thus, only differences greater than or equal to 10 percent are discussed in the text.  | 
		
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				Table 1 presents overall and by primary expected payer the total number of visits, mean 
				cost per visit, and aggregate costs for treat-and-release ED visits for pregnant women 
				versus nonpregnant women in 2019.
				 
		Table 1. Number of visits, mean cost, and aggregate costs of treat-and-release ED visits for pregnant and nonpregnant women aged 12-55 years, by primary expected payer, 2019  | 
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				Distribution of treat-and-release ED visits for women aged 12-55 years, 
				by primary expected payer and patient characteristic, 2019
				 
		Figure 2 presents the distribution of treat-and-release ED visits for pregnant and nonpregnant women by primary expected payer and patient age group in 2019. Figure 2. Distribution of treat-and-release ED visits for pregnant and nonpregnant women aged 12-55 years, by primary expected payer and patient age group, 2019 
					 
 
 
						Bar chart showing the distribution of treat-and-release emergency department visits 
						for pregnant and nonpregnant women by primary expected payer and patient age group 
						in 2019. Visits for pregnant women: 12-17 years (91,300 
						visits [2.4%]): Medicaid: 72.9%, private: 15.1%, self-pay/no charge: 9.6%, other: 
						2.2%. 18-24 years (1,378,300 visits [36.2%]): Medicaid: 61.0%, private: 
						24.7%, self-pay/no charge: 10.3%, other: 3.9%. 25-34 years (1,846,900 
						visits [48.5%]): Medicaid: 51.5%, private: 33.9%, self-pay/no charge: 9.5%, other: 
						4.9%. 35-55 years (488,300 visits [12.8%]): Medicaid: 42.4%, private: 
						40.7%, self-pay/no charge: 10.7%, other: 5.9%. Visits for nonpregnant 
						women: 12-17 years (3,687,800 visits [9.8%]): Medicaid: 55.6%, 
						private: 33.0%, self-pay/no charge: 7.7%, other: 3.6%. 18-24 years 
						(6,760,200 [17.9%]): Medicaid: 37.6%, private: 36.6%, self-pay/no charge: 20.0%, 
						other: 5.6%. 25-34 years (9,913,700 visits [26.3%]): Medicaid: 40.5%, 
						private: 30.5%, self-pay/no charge: 20.7%, other: 8.0%. 35-55 years 
						(17,349,800 visits [46.0%]): Medicaid: 30.7%, private: 37.9%, self-pay/no charge: 
						16.3%, other: 14.9%.
					 
				
				
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				Figure 3 presents the distribution of treat-and-release ED visits for 
				pregnant women versus nonpregnant women by primary expected payer and 
				patient race and ethnicity in 2019.
				 
		Figure 3. Distribution of treat-and-release ED visits for pregnant and nonpregnant women aged 12-55 years, by primary expected payer and patient race and ethnicity, 2019 
					 
 
 
						Bar chart showing the distribution of treat-and-release emergency department visits for 
						pregnant women versus nonpregnant women by primary expected payer and patient race and 
						ethnicity (Hispanic, Black non-Hispanic [NH], White NH, and other NH) in 2019. Visits 
						for pregnant women: Hispanic (859,300 visits [23.0%]): Medicaid: 57.3%, 
						private: 23.4%, self-pay/no charge: 14.7%, other: 4.4%. Black NH (1,056,000 visits 
						[28.2%]): Medicaid: 62.9%, private: 23.2%, self-pay/no charge: 9.9%, other: 3.9%. White 
						NH (1,551,400 visits [41.4%]): Medicaid: 47.9%, private: 39.8%, self-pay/no charge: 
						7.1%, other: 5.0%. Other NH (277,000 visits [7.4%]): Medicaid: 49.4%, private: 
						34.7%, self-pay/no charge: 10.6%, other: 5.3%. Visits for nonpregnant women: 
						Hispanic (6,202,100 visits [16.8%]): Medicaid: 42.6%, private: 27.9%, self-pay/no 
						charge: 21.2%, other: 8.2%. Black NH (9,275,000 visits [25.1%]): Medicaid: 40.6%, 
						private: 28.3%, self-pay/no charge: 20.8%, other: 10.1%. White NH (19,226,700 visits 
						[52.0%]): Medicaid: 33.6%, private: 40.5%, self-pay/no charge: 14.5%, other: 11.3%. Other 
						NH (2,253,400 visits [6.1%]): Medicaid: 36.0%, private: 38.0%, self-pay/no charge: 16.2%, 
						other: 9.6%.
					 
				
				
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				Figures 4 and 5 present the distribution of treat-and-release ED visits 
				for pregnant women versus nonpregnant women aged 12-24 years (Figure 4) 
				and aged 25-55 years (Figure 5) by primary expected payer and select 
				patient characteristics.  Figure 4 shows the distribution of ED visits 
				for women aged 12-24 years by primary expected payer, patient age group, 
				and patient race and ethnicity in 2019.
				 
		Figure 4. Distribution of treat-and-release ED visits for pregnant and nonpregnant women aged 12-24 years, by primary expected payer, patient age group, and patient race and ethnicity, 2019 
					 
 
 
						Bar chart showing the distribution of treat-and-release emergency department visits 
						for women aged 12-24 years by primary expected payer, patient age group, and patient 
						race and ethnicity (Hispanic, Black non-Hispanic [NH], White NH, and other NH) in 2019. 
						Data are provided in Supplemental Table 1.
					 
				
				
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				Figure 5 presents the distribution of treat-and-release ED visits for pregnant 
				women versus nonpregnant women aged 25-55 years by primary expected payer, 
				patient age group, and patient race and ethnicity in 2019.
				 
		Figure 5. Distribution of treat-and-release ED visits for pregnant and nonpregnant women aged 25-55 years, by primary expected payer, patient age group, and patient race and ethnicity, 2019 
					 
 
 
						Bar chart showing the distribution of treat-and-release emergency department visits 
						for pregnant women versus nonpregnant women aged 25-55 years by primary expected 
						payer, patient age group, and patient race and ethnicity (Hispanic, Black non-Hispanic 
						[NH], White NH, and other NH) in 2019. Data are provided in 
						Supplemental Table 2.
					 
				
				
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				References
				 
		
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				About Statistical Briefs
				 
		Healthcare Cost and Utilization Project (HCUP) Statistical Briefs provide basic descriptive statistics on a variety of topics using HCUP administrative healthcare data. Topics include hospital inpatient, ambulatory surgery, and emergency department use and costs, quality of care, access to care, medical conditions, procedures, and patient populations, among other topics. The reports are intended to generate hypotheses that can be further explored in other research; the reports are not designed to answer in-depth research questions using multivariate methods.  | 
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				Data Source
				 
		The estimates in this Statistical Brief are based upon data from the 2019 HCUP Nationwide Emergency Department Sample (NEDS). See more information about the NEDS in the "About the NEDS" section below.  | 
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				Definitions
				 
		
					Diagnoses, ICD-10-CM, Clinical Classifications Software Refined (CCSR) 
					for ICD-10-CM Diagnoses
					 Diagnoses are coded in ICD-10-CM, the International Classification of Diseases, Tenth Revision, Clinical Modification. There are over 70,000 ICD-10-CM diagnosis codes. The CCSR aggregates ICD-10-CM diagnosis codes into a manageable number of clinically meaningful categories.c The CCSR is intended to be used analytically to examine patterns of healthcare in terms of cost, utilization, and outcomes; rank utilization by diagnoses; and risk-adjust by clinical condition. The CCSR capitalizes on the specificity of the ICD-10-CM coding scheme and allows ICD-10-CM codes to be classified in more than one category. Approximately 10 percent of diagnosis codes are associated with more than one CCSR category because the diagnosis code documents either multiple conditions or a condition along with a common symptom or manifestation. ICD-10-CM coding definitions for each CCSR category presented in this Statistical Brief can be found in the CCSR reference file, available at www.hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#download. For this Statistical Brief, v2021.2 of the CCSR was used. 
					Procedures, Healthcare Common Procedure Coding System (HCPCS)/Current 
					Procedural Terminology (CPT®), Clinical Classifications Software for 
					Services and Procedures (CCS-Services and Procedures)
					 ED procedures on an outpatient record are coded in HCPCS Level I (CPT) and Level II procedure codes. There are approximately 17,700 total procedure codes. The CCS-Services and Procedures provides a method for classifying CPT and HCPCS Level II codes into clinically meaningful procedure categories.d More than 10,000 CPT codes and 7,000 HCPCS Level II codes are collapsed into over 240 categories that may be more useful for presenting descriptive statistics than are individual CPT or HCPCS Level II codes. 
					Case definition
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| CCSR category | CCSR category description | 
|---|---|
| PRG001 | Antenatal screening | 
| PRG002 | Gestational weeks | 
| PRG003 | Spontaneous abortion and complications of spontaneous abortion | 
| PRG004 | Induced abortion and complications of termination of pregnancy | 
| PRG005 | Ectopic pregnancy and complications of ectopic pregnancy | 
| PRG006 | Molar pregnancy and other abnormal products of conception | 
| PRG007 | Complications following ectopic and/or molar pregnancy | 
| PRG008 | Supervision of high-risk pregnancy | 
| PRG009 | Early, first or unspecified trimester hemorrhage | 
| PRG010 | Hemorrhage after first trimester | 
| PRG011 | Early or threatened labor | 
| PRG012 | Multiple gestation | 
| PRG013 | Maternal care related to fetal conditions | 
| PRG014 | Polyhydramnios and other problems of amniotic cavity | 
| PRG015 | Obstetric history affecting care in pregnancy | 
| PRG016 | Previous C-section | 
| PRG017 | Maternal care for abnormality of pelvic organs | 
| PRG018 | Maternal care related to disorders of the placenta and placental implantation | 
| PRG019 | Diabetes or abnormal glucose tolerance complicating pregnancy; childbirth; or the puerperium | 
| PRG020 | Hypertension and hypertensive-related conditions complicating pregnancy; childbirth; and the puerperium | 
| PRG021 | Maternal intrauterine infection | 
| PRG022 | Prolonged pregnancy | 
| PRG023 | Complications specified during childbirth | 
| PRG024 | Malposition, disproportion or other labor complications | 
| PRG025 | Anesthesia complications during pregnancy | 
| PRG026 | OB-related trauma to perineum and vulva | 
| PRG027 | Complications specified during the puerperium | 
| PRG028 | Other specified complications in pregnancy | 
| PRG029 | Uncomplicated pregnancy, delivery or puerperium | 
| PRG030 | Maternal outcome of delivery | 
| CCS category | CCS category description | 
|---|---|
| 122 | Removal of ectopic pregnancy | 
| 126 | Abortion (termination of pregnancy) | 
| 127 | Dilatation and curettage (D&C), aspiration after delivery or abortion | 
| 134 | Cesarean section | 
| 135 | Forceps, vacuum, and breech delivery | 
| 137 | Other procedures to assist delivery | 
| 138 | Diagnostic amniocentesis | 
| 139 | Fetal monitoring | 
| 140 | Repair of current obstetric laceration | 
| 141 | Other therapeutic obstetrical procedures including antepartum and postpartum care | 
		Types of hospitals included in the HCUP Nationwide Emergency Department Sample
		
		The Nationwide Emergency Department Sample (NEDS) is based on ED data from community 
		acute care hospitals, which are defined as short-term, non-Federal, general, and 
		other specialty hospitals available to the public.  Included among community 
		hospitals are pediatric institutions and hospitals that are part of academic medical 
		centers.  Excluded are long-term care facilities such as rehabilitation, psychiatric, 
		and alcoholism and chemical dependency hospitals.  Hospitals included in the NEDS 
		have EDs, and no more than 90 percent of their ED visits result in admission.
	
		Unit of analysis
		
		The unit of analysis is the ED visit, not a person or patient.  This means that a 
		person who is seen in the ED multiple times in 1 year will be counted each time as 
		a separate visit in the ED.
	
		Costs and charges
		
		Total ED charges were converted to costs using the HCUP Cost-to-Charge Ratios for 
		ED Files, which are based on hospital accounting reports from the Centers for 
		Medicare & Medicaid Services (CMS).e Costs reflect the actual 
		expenses incurred in the production of hospital services, such as wages, supplies, 
		and utility costs; charges represent the amount a hospital billed for the case.  
		For each hospital, a cost-to-charge ratio constructed specifically for the hospital 
		ED is used.  Hospital charges reflect the amount the hospital billed for the entire 
		ED visit and do not include professional (physician) fees.
	
Total charges were not available on all NEDS records. For ED visits that did not result in admission (the focus of this Statistical Brief), 1 percent of records were missing ED charges; thus, ED costs could not be estimated for these visits. For this Statistical Brief, the methodology used to estimate aggregate costs was analogous to what is recommended to estimate aggregate charges in the Introduction to the HCUP NEDS documentation.f Aggregate costs were estimated as the product of the number of visits and average cost per visit.
		How HCUP estimates of costs differ from National Health Expenditure Accounts
		
		There are a number of differences between the costs cited in this Statistical 
		Brief and spending as measured in the National Health Expenditure Accounts (NHEA), 
		which are produced annually by CMS.g   The largest source of 
		difference comes from the HCUP coverage of ED treatment only in contrast to the 
		NHEA inclusion of inpatient and other outpatient costs associated with other 
		hospital-based outpatient clinics and departments as well.  The outpatient portion 
		of hospitals' activities has been growing steadily and may exceed half of all 
		hospital revenue in recent years.  On the basis of the American Hospital 
		Association Annual Survey, 2018 outpatient gross revenues (or charges) were 
		about 49 percent of total hospital gross revenues.h
	
Smaller sources of differences come from the inclusion in the NHEA of hospitals that are excluded from HCUP. These include Federal hospitals (Department of Defense, Veterans Administration, Indian Health Service, and Department of Justice [prison] hospitals) as well as psychiatric, substance abuse, and long-term care hospitals. A third source of difference lies in the HCUP reliance on billed charges from hospitals to payers, adjusted to provide estimates of costs using hospital-wide cost-to-charge ratios, in contrast to the NHEA measurement of spending or revenue. HCUP costs estimate the amount of money required to produce hospital services, including expenses for wages, salaries, and benefits paid to staff as well as utilities, maintenance, and other similar expenses required to run a hospital. NHEA spending or revenue measures the amount of income received by the hospital for treatment and other services provided, including payments by insurers, patients, or government programs. The difference between revenues and costs includes profit for for-profit hospitals or surpluses for nonprofit hospitals.
		Expected payer
		
		To make coding uniform across all HCUP data sources, the primary expected 
		payer for the ED visit combines detailed categories into general groups:
	
ED visits that were expected to be billed to the State Children's Health Insurance Program (SCHIP) are included under Medicaid.
For this Statistical Brief, when more than one payer is listed for an ED visit, the first-listed payer is used.
		Reporting of race and ethnicity
		
		Data on Hispanic ethnicity are collected differently among the States and 
		also can differ from the census methodology of collecting information on 
		race (White, Black, Asian/Pacific Islander, American Indian/Alaska Native, 
		Other [including mixed race]) separately from ethnicity (Hispanic, 
		non-Hispanic).  State data organizations often collect Hispanic ethnicity 
		as one of several categories that include race. Therefore, for multistate 
		analyses, HCUP creates the combined categorization of race and ethnicity 
		for data from States that report ethnicity separately.  When a State data 
		organization collects Hispanic ethnicity separately from race, HCUP uses 
		Hispanic ethnicity to override any other race category to create a 
		Hispanic category for the uniformly coded race and ethnicity data element, 
		while also retaining the original race and ethnicity data.  This 
		Statistical Brief reports race and ethnicity for the following categories: 
		Hispanic, non-Hispanic White, non-Hispanic Black, and non-Hispanic Other 
		(including Asian/Pacific Islander and American Indian/Alaska Native).
	
The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ). HCUP databases bring together the data collection efforts of State data organizations, hospital associations, and private data organizations (HCUP Partners) and the Federal government to create a national information resource of encounter-level healthcare data. HCUP includes the largest collection of longitudinal hospital care data in the United States, with all-payer, encounter-level information beginning in 1988. These databases enable research on a broad range of health policy issues, including cost and quality of health services, medical practice patterns, access to healthcare programs, and outcomes of treatments at the national, State, and local market levels.
HCUP would not be possible without the contributions of the following data collection Partners from across the United States:
| 
			Alaska Department  of Health and Social Services Alaska State Hospital and Nursing Home Association Arizona Department of Health Services Arkansas Department of Health California Office of Statewide Health Planning and Development Colorado Hospital Association Connecticut Hospital Association Delaware Division of Public Health District of Columbia Hospital Association Florida Agency for Health Care Administration Georgia Hospital Association Hawaii Laulima Data Alliance Hawaii University of Hawai’i at Hilo Illinois Department of Public Health Indiana Hospital Association Iowa Hospital Association Kansas Hospital Association Kentucky Cabinet for Health and Family Services Louisiana Department of Health Maine Health Data Organization Maryland Health Services Cost Review Commission Massachusetts Center for Health Information and Analysis Michigan Health & Hospital Association Minnesota Hospital Association Mississippi State Department of Health Missouri Hospital Industry Data Institute  | 
		
			Montana Hospital Association Nebraska Hospital Association Nevada Department of Health and Human Services New Hampshire Department of Health & Human Services New Jersey Department of Health New Mexico Department of Health New York State Department of Health North Carolina Department of Health and Human Services North Dakota (data provided by the Minnesota Hospital Association) Ohio Hospital Association Oklahoma State Department of Health Oregon Association of Hospitals and Health Systems Oregon Office of Health Analytics Pennsylvania Health Care Cost Containment Council Rhode Island Department of Health South Carolina Revenue and Fiscal Affairs Office South Dakota Association of Healthcare Organizations Tennessee Hospital Association Texas Department of State Health Services Utah Department of Health Vermont Association of Hospitals and Health Systems Virginia Health Information Washington State Department of Health West Virginia Department of Health and Human Resources, West Virginia Health Care Authority Wisconsin Department of Health Services Wyoming Hospital Association  | 
	
The HCUP Nationwide Emergency Department Sample (NEDS) is a unique and powerful database that yields national estimates of emergency department (ED) visits. The NEDS was constructed using records from both the HCUP State Emergency Department Databases (SEDD) and the State Inpatient Databases (SID). The SEDD capture information on ED visits that do not result in an admission (i.e., patients who were treated in the ED and then released from the ED, or patients who were transferred to another hospital); the SID contain information on patients initially seen in the ED and then admitted to the same hospital. The NEDS was created to enable analyses of ED utilization patterns and support public health professionals, administrators, policymakers, and clinicians in their decision making regarding this critical source of care. The NEDS is produced annually beginning in 2006. Over time, the sampling frame for the NEDS has changed; thus, the number of States contributing to the NEDS varies from year to year. The NEDS is intended for national estimates only; no State-level estimates can be produced. The unweighted sample size for the 2019 NEDS is 33,147,251 (weighted, this represents 143,432,284 ED visits). Of these weighted visits, 20,373,534 (14.2 percent) were admitted to the same hospital.
For More InformationFor other information on pregnancy and childbirth, refer to the HCUP Statistical Briefs located at www.hcup-us.ahrq.gov/reports/statbriefs/sb_pregnancy.jsp.
For additional HCUP statistics, visit:
For more information about HCUP, visit www.hcup-us.ahrq.gov/.
For a detailed description of HCUP and more information on the design of the Nationwide Emergency Department Sample (NEDS), please refer to the following database documentation:
Agency for Healthcare Research and Quality. Overview of the Nationwide Emergency Department Sample (NEDS). Healthcare Cost and Utilization Project (HCUP). Rockville, MD: Agency for Healthcare Research and Quality. Updated October 2021. www.hcup-us.ahrq.gov/nedsoverview.jsp. Accessed March 9, 2022.
Suggested CitationMcDermott KW (IBM), Reid LD (AHRQ), Owens PL (AHRQ). Expected Payers and Patient Characteristics of Maternal Emergency Department Care, 2019. HCUP Statistical Brief #296. June 2022. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/reports/statbriefs/sb296-Payers-Maternal-ED-2019.pdf.
AcknowledgmentsThe authors would like to acknowledge the contributions of Marguerite Barrett of M.L. Barrett, Inc., and Minya Sheng of IBM.
***
AHRQ welcomes questions and comments from readers of this publication who are interested in obtaining more information about access, cost, use, financing, and quality of healthcare in the United States. We also invite you to tell us how you are using this Statistical Brief and other HCUP data and tools, and to share suggestions on how HCUP products might be enhanced to further meet your needs. Please email us at hcup@ahrq.gov. or send a letter to the address below:
		Joel W. Cohen, Ph.D., Director
		
		Center for Financing, Access and Cost Trends 
		
		Agency for Healthcare Research and Quality 
		
		5600 Fishers Lane
		
		Rockville, MD 20857
	
This Statistical Brief was posted online on June 28, 2022.
a ED visits for pregnant women were identified by the presence of a pregnancy-related diagnosis or procedure code on the record. Most ED visits for pregnant women (94.3 percent) were for a pregnancy-related condition; 5.7 percent of visits were for conditions unrelated to pregnancy.| Supplemental Table 1. Distribution of treat-and-release ED visits for pregnant and nonpregnant women aged 12-24 years, by primary expected payer, patient age group, and patient race and ethnicity, 2019, for data presented in Figure 4 | ||||||
| Race and ethnicity | Total number of visits | % of visits | Distribution by payer, % | |||
|---|---|---|---|---|---|---|
| Medicaid | Private | Self-pay/ No charge*  | 
			Other | |||
| Pregnant girls aged 12-17 years | ||||||
| Hispanic | 26,200 | 29.5 | 69.8 | 13.6 | 13.7 | 2.8 | 
| Black NH | 26,200 | 29.5 | 79.1 | 11.1 | 8.1 | 1.6 | 
| White NH | 31,500 | 35.5 | 70.8 | 20.3 | 6.7 | 2.2 | 
| Other NH | 4,900 | 5.6 | 69.0 | 13.6 | 13.6 | 3.1 | 
| Nonpregnant girls aged 12-17 years | ||||||
| Hispanic | 767,300 | 22.0 | 65.1 | 21.6 | 9.8 | 3.4 | 
| Black NH | 695,500 | 20.0 | 66.6 | 21.3 | 8.9 | 3.1 | 
| White NH | 1,774,900 | 51.0 | 47.3 | 42.6 | 6.2 | 3.9 | 
| Other NH | 245,900 | 7.1 | 53.8 | 33.1 | 8.6 | 4.4 | 
| Pregnant women aged 18-24 years | ||||||
| Hispanic | 312,500 | 23.0 | 61.6 | 19.8 | 14.2 | 4.1 | 
| Black NH | 400,600 | 29.5 | 66.7 | 19.5 | 10.7 | 3.0 | 
| White NH | 566,600 | 41.8 | 56.8 | 31.2 | 7.6 | 4.2 | 
| Other NH | 76,300 | 5.6 | 60.8 | 22.9 | 11.7 | 4.4 | 
| Nonpregnant women aged 18-24 years | ||||||
| Hispanic | 1,161,000 | 17.5 | 43.4 | 27.5 | 23.4 | 5.6 | 
| Black NH | 1,780,400 | 26.9 | 43.0 | 25.9 | 26.1 | 4.6 | 
| White NH | 3,258,600 | 49.2 | 33.1 | 45.1 | 15.6 | 6.1 | 
| Other NH | 421,200 | 6.4 | 35.5 | 38.9 | 18.8 | 6.6 | 
| * Self-pay/No charge: includes self-pay, no charge, charity, and no expected payment. | ||||||
| Supplemental Table 2. Distribution of treat-and-release ED visits for pregnant and nonpregnant women aged 25-55 years, by primary expected payer, patient age group, and patient race and ethnicity, 2019, for data presented in Figure 5 | ||||||
| Race and ethnicity | Total number of visits | % of visits | Distribution by payer, % | |||
|---|---|---|---|---|---|---|
| Medicaid | Private | Self-pay/ No charge*  | 
			Other | |||
| Pregnant women aged 25-34 years | ||||||
| Hispanic | 396,200 | 21.8 | 55.3 | 25.8 | 14.2 | 4.4 | 
| Black NH | 509,600 | 28.0 | 62.0 | 24.1 | 9.5 | 4.4 | 
| White NH | 767,900 | 42.2 | 43.9 | 43.9 | 6.8 | 5.3 | 
| Other NH | 144,700 | 8.0 | 46.6 | 37.8 | 10.0 | 5.4 | 
| Nonpregnant women aged 25-34 years | ||||||
| Hispanic | 1,571,900 | 16.1 | 42.5 | 26.0 | 24.3 | 7.0 | 
| Black NH | 2,724,500 | 27.9 | 43.7 | 24.6 | 24.0 | 7.5 | 
| White NH | 4,878,900 | 50.0 | 38.8 | 34.5 | 18.0 | 8.5 | 
| Other NH | 579,400 | 5.9 | 36.7 | 35.3 | 18.9 | 8.8 | 
| Pregnant women aged 35-55 years | ||||||
| Hispanic | 124,400 | 25.9 | 50.0 | 26.8 | 17.4 | 5.3 | 
| Black NH | 119,600 | 24.9 | 50.6 | 34.3 | 9.2 | 5.8 | 
| White NH | 185,400 | 38.6 | 33.6 | 52.8 | 7.1 | 6.4 | 
| Other NH | 51,100 | 10.6 | 38.3 | 45.3 | 10.2 | 6.2 | 
| Nonpregnant women aged 35-55 years | ||||||
| Hispanic | 2,701,900 | 15.8 | 36.0 | 30.9 | 21.7 | 11.3 | 
| Black NH | 4,074,700 | 23.8 | 32.9 | 33.1 | 18.4 | 15.4 | 
| White NH | 9,314,300 | 54.5 | 28.3 | 41.6 | 13.9 | 16.0 | 
| Other NH | 1,007,000 | 5.9 | 31.4 | 40.5 | 15.4 | 12.6 | 
| * Self-pay/No charge: includes self-pay, no charge, charity, and no expected payment. | ||||||
| Internet Citation: Statistical Brief #296. Healthcare Cost and Utilization Project (HCUP). June 2022. Agency for Healthcare Research and Quality, Rockville, MD. hcup-us.ahrq.gov/reports/statbriefs/sb296-Payers-Maternal-ED-2019.jsp. | 
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